The volume of data produced in the world is growing rapidly. Data is the basis for many new products and services, driving gains in productivity and resource efficiency. In the future, a large part of the data will come from industrial applications and sensors via the Internet of Things (IoT). Artificial Intelligence (AI) already plays an important part in analysing these high-volume and high-velocity data streams and deriving valuable information and predictions from them.
With the purpose to connect the science, technology and innovation ecosystems between Japan and Singapore for knowledge sharing and collaboration opportunities, SGInnovate and the Japan Science & Technology Agency are co-presenting a series of talks by notable startups, researchers and corporate innovators on various deep tech topics.
Topics: AI / Machine Learning / Deep Learning, MedTech / HealthTech / BioTech
Policymakers, businesses and innovators around the world increasingly recognise the importance of advanced manufacturing and robotics. The use of robotics in sectors such as healthcare, automotive, electronics and in several other businesses continue to advance, expand and evolve at a rapid pace with a robust digital transformation strategy.
Artificial Intelligence (AI) has been hailed as both the hero and the villain of future business scenarios. While many believe it will result in mass redundancies and global disruption, others see a new dawn of enlightened management and ultra-efficiency that will spur a wave of new business opportunities. However, the scale of impact is still unclear as to how the implementation of AI in the workplace will affect on-the-ground management and leadership in companies in the 21st century.
Innovations in science and technology have fundamentally transformed the human landscape of the 21st century. From innovative urban solutions and health technologies to sustainable food and energy sources, this rapid development of science and technology has changed the way we live, work and play, delivering stronger economic progress and higher quality of life. However, at the same time, these advancements continue to raise global ethical, environmental and social issues such as climate change, social inequality and digital divide.
Topics: AI / Machine Learning / Deep Learning, MedTech / HealthTech / BioTech
Just as businesses were getting used to how Artificial Intelligence (AI) can be leveraged to work more efficiently, the world was confronted with the COVID-19 pandemic situation. Now, more than ever, it is imperative to understand the benefits of Data Analytics and AI, and how that can be used to work through the crisis and beyond. However, it is essential to be mindful of the responsible use of AI, especially since data in question at present may be classified as sensitive.
The automotive industry faces numerous challenges, as new technologies continue to disrupt the current landscape and increasingly, eco-aware consumers are transiting from car ownership to shared mobility. The next frontier for automotive brands will involve forging partnerships with other industry players. Giving rise to opportunities for innovation and ability to deliver ecosystem-driven experiences in line with evolving consumer expectations, where they can access low-touch and no-touch services through their vehicles and devices.
In today's world, environmental and social challenges are continually threatening the world's economy. Corporates and governments now recognise the need to act responsibly to support positive change in day-to-day businesses in building a sustainable global economy.
Topics: AI / Machine Learning / Deep Learning, Data Science / Data Analytics
In Singapore, life expectancy has risen to about 85 years, and by 2030, it has been predicted that one in four Singaporeans will be aged 65 and above. It is undeniable that Singapore will have a rapidly ageing population; hence, it is imperative to encourage citizens to be as healthy and active as possible.
Cities used to grow by accident, with infrastructure improvised as the population and economic activities started increasing. However, cities began to happen on purpose in the 20th century. Sensor networks, scientific and technological advancements, and precise data analytics are enabling architects, planners and developers better build fun, liveable, and sustainable cities.
Around 40 per cent of the world’s population – about three billion people in 100 countries – live in communities with a risk of dengue and other mosquito-borne diseases. While there are no cures, what if something could curb the power of mosquitoes to infect people?
Science and technology, in particular Artificial intelligence (AI), are increasingly applied in healthcare to deliver better patient outcomes. In line with Singapore’s national AI strategy, healthcare innovators and practitioners are co-developing and applying novel AI models for disease prediction and management.
Topics: AI / Machine Learning / Deep Learning, MedTech / HealthTech / BioTech
